Literature DB >> 1361360

The calculation of molecular similarity: alternative formulas, data manipulation and graphical display.

A C Good1.   

Abstract

The use of electrostatic potential comparisons between molecules for the elucidation of structure activity relationships is now a well-established modeling technique. The Carbo and Hodgkin similarity indices are used extensively to make quantitative comparisons of this nature; yet their roots are found in the overlap of electron density distribution, with both formulas utilizing a product-based numerator. Two new similarity indices are suggested that calculate the electrostatic potential similarity using a difference-based numerator. The form of the new indices allows the creation of additional software functions that enhance the flexibility of similarity calculations and permit the creation of similarity maps. The general properties of these software functions and all indices are discussed and applied to a series of dopamine D2 receptor agonists.

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Year:  1992        PMID: 1361360     DOI: 10.1016/0263-7855(92)80048-i

Source DB:  PubMed          Journal:  J Mol Graph        ISSN: 0263-7855


  7 in total

1.  A molecular-field-based similarity study of non-nucleoside HIV-1 reverse transcriptase inhibitors. 2. The relationship between alignment solutions obtained from conformationally rigid and flexible matching.

Authors:  J Mestres; D C Rohrer; G M Maggiora
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  BRUTUS: optimization of a grid-based similarity function for rigid-body molecular superposition. II. Description and characterization.

Authors:  Toni Rönkkö; Anu J Tervo; Jussi Parkkinen; Antti Poso
Journal:  J Comput Aided Mol Des       Date:  2006-07-20       Impact factor: 3.686

3.  Similarity and complementarity of molecular shapes: applicability of a topological analysis approach.

Authors:  L Leherte; T Latour; D P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  1996-02       Impact factor: 3.686

4.  Determination of receptor-bound drug conformations by QSAR using flexible fitting to derive a molecular similarity index.

Authors:  C A Montanari; M S Tute; A E Beezer; J C Mitchell
Journal:  J Comput Aided Mol Des       Date:  1996-02       Impact factor: 3.686

5.  Similarity searching in files of three-dimensional chemical structures: representation and searching of molecular electrostatic potentials using field-graphs.

Authors:  D A Thorner; P Willett; P M Wright; R Taylor
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

6.  An exploration of a novel strategy for superposing several flexible molecules.

Authors:  T D Perkins; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1993-04       Impact factor: 3.686

7.  On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods.

Authors:  Giovanni Bolcato; Esther Heid; Jonas Boström
Journal:  J Chem Inf Model       Date:  2022-03-10       Impact factor: 4.956

  7 in total

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